Model Comparison

GLM-5 vs MiMo-V2-Flash

GLM-5 significantly outperforms across most benchmarks. MiMo-V2-Flash is 10.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-5 outperforms in 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while MiMo-V2-Flash is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, GLM-5 ($1.00/1M tokens) is 10.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 10.7x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

In conclusion, GLM-5 is more expensive than MiMo-V2-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
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Model Size

Parameter count comparison

435.0B diff

GLM-5 has 435.0B more parameters than MiMo-V2-Flash, making it 140.8% larger.

Zhipu AI
GLM-5
744.0Bparameters
Xiaomi
MiMo-V2-Flash
309.0Bparameters
744.0B
GLM-5
309.0B
MiMo-V2-Flash

Context Window

Maximum input and output token capacity

MiMo-V2-Flash accepts 256,000 input tokens compared to GLM-5's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Tue Apr 07 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5

MIT

Open weights

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiMo-V2-Flash was released on 2025-12-16.

GLM-5 is 2 months newer than MiMo-V2-Flash.

GLM-5

Feb 11, 2026

1 months ago

1mo newer
MiMo-V2-Flash

Dec 16, 2025

3 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5 is available from ZAI. MiMo-V2-Flash is available from Xiaomi.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

MiMo-V2-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher BrowseComp score (75.9% vs 58.3%)
Higher SWE-Bench Verified score (77.8% vs 73.4%)
Higher Terminal-Bench 2.0 score (56.2% vs 38.5%)
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Xiaomi
MiMo-V2-Flash

FAQ

Common questions about GLM-5 vs MiMo-V2-Flash

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and MiMo-V2-Flash is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.
MiMo-V2-Flash is 10.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.
GLM-5 supports 200K tokens and MiMo-V2-Flash supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 256K), input pricing ($1.00 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and MiMo-V2-Flash is developed by Xiaomi.